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1812.05720
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Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem
13 December 2018
Matthias Hein
Maksym Andriushchenko
Julian Bitterwolf
OODD
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Papers citing
"Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem"
50 / 349 papers shown
Title
Advancing Constrained Monotonic Neural Networks: Achieving Universal Approximation Beyond Bounded Activations
Davide Sartor
Alberto Sinigaglia
Gian Antonio Susto
34
0
0
05 May 2025
Ensemble Kalman filter for uncertainty in human language comprehension
Diksha Bhandari
Alessandro Lopopolo
Milena Rabovsky
Sebastian Reich
BDL
UQLM
50
0
0
05 May 2025
Open-set Anomaly Segmentation in Complex Scenarios
Song Xia
Yi Yu
Henghui Ding
Wenhan Yang
S. Liu
Alex C. Kot
Xudong Jiang
DiffM
50
0
0
28 Apr 2025
TrojanDam: Detection-Free Backdoor Defense in Federated Learning through Proactive Model Robustification utilizing OOD Data
Yanbo Dai
Songze Li
Zihan Gan
Xueluan Gong
AAML
FedML
37
0
0
22 Apr 2025
VibrantLeaves: A principled parametric image generator for training deep restoration models
Raphaël Achddou
Y. Gousseau
Saïd Ladjal
Sabine Süsstrunk
28
0
0
14 Apr 2025
Prior2Former -- Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation
Sebastian Schmidt
Julius Körner
Dominik Fuchsgruber
Stefano Gasperini
F. Tombari
Stephan Günnemann
26
0
0
07 Apr 2025
EOOD: Entropy-based Out-of-distribution Detection
Guide Yang
Chao Hou
Weilong Peng
Xiang Fang
Yongwei Nie
Peican Zhu
Keke Tang
OODD
49
0
0
04 Apr 2025
RUNA: Object-level Out-of-Distribution Detection via Regional Uncertainty Alignment of Multimodal Representations
Bin Zhang
Jinggang Chen
Xiaoyang Qu
Guokuan Li
Kai Lu
Jiguang Wan
Jing Xiao
Jianzong Wang
ObjD
41
0
0
28 Mar 2025
Evaluating ASR Confidence Scores for Automated Error Detection in User-Assisted Correction Interfaces
Korbinian Kuhn
Verena Kersken
Gottfried Zimmermann
55
0
0
19 Mar 2025
HALO: Robust Out-of-Distribution Detection via Joint Optimisation
Hugo Lyons Keenan
S. Erfani
Christopher Leckie
OODD
202
0
0
27 Feb 2025
GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation
Danny Wang
Ruihong Qiu
Guangdong Bai
Zi Huang
101
0
0
09 Feb 2025
Concept Matching with Agent for Out-of-Distribution Detection
YuXiao Lee
Xiaofeng Cao
Jingcai Guo
Wei Ye
Qing-Wu Guo
Yi Chang
60
0
0
08 Jan 2025
Multi-layer Radial Basis Function Networks for Out-of-distribution Detection
Amol Khanna
Chenyi Ling
Derek Everett
Edward Raff
Nathan Inkawhich
OODD
28
0
0
05 Jan 2025
A novel framework for MCDM based on Z numbers and soft likelihood function
Yuanpeng He
43
0
0
26 Dec 2024
A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations
S. Saralajew
Ashish Rana
T. Villmann
Ammar Shaker
OOD
82
1
0
20 Dec 2024
Reject Threshold Adaptation for Open-Set Model Attribution of Deepfake Audio
Xinrui Yan
Jiangyan Yi
J. Tao
Yujie Chen
Hao Gu
Guanjun Li
Junzuo Zhou
Yong Ren
Tao Xu
71
0
0
02 Dec 2024
TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection
Jiankang Chen
Tong Zhang
Wei-Shi Zheng
Ruixuan Wang
OODD
109
2
0
22 Nov 2024
Variational Bayesian Bow tie Neural Networks with Shrinkage
Alisa Sheinkman
Sara Wade
BDL
UQCV
39
0
0
17 Nov 2024
Energy Score-based Pseudo-Label Filtering and Adaptive Loss for Imbalanced Semi-supervised SAR target recognition
Xinzheng Zhang
Yuqing Luo
Guopeng Li
31
0
0
06 Nov 2024
DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection
Jingyao Geng
Yuan Zhang
Jiaqi Huang
Feng Xue
Falong Tan
Chuanlong Xie
Shumei Zhang
OODD
43
0
0
03 Nov 2024
Generative Example-Based Explanations: Bridging the Gap between Generative Modeling and Explainability
Philipp Vaeth
Alexander M. Fruehwald
Benjamin Paassen
Magda Gregorova
GAN
25
0
0
28 Oct 2024
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models
Mohammad Beigi
Sijia Wang
Ying Shen
Zihao Lin
Adithya Kulkarni
...
Ming Jin
Jin-Hee Cho
Dawei Zhou
Chang-Tien Lu
Lifu Huang
23
1
0
26 Oct 2024
AHA: Human-Assisted Out-of-Distribution Generalization and Detection
Haoyue Bai
Jifan Zhang
Robert Nowak
30
6
0
10 Oct 2024
Uncertainty estimation via ensembles of deep learning models and dropout layers for seismic traces
Giovanni Messuti
ortensia Amoroso
Ferdinando Napolitano
Mariarosaria Falanga
Paolo Capuano
Silvia Scarpetta
UQCV
13
0
0
08 Oct 2024
Impact of Regularization on Calibration and Robustness: from the Representation Space Perspective
Jonghyun Park
Juyeop Kim
Jong-Seok Lee
23
1
0
05 Oct 2024
Recent Advances in OOD Detection: Problems and Approaches
Shuo Lu
YingSheng Wang
Lijun Sheng
Aihua Zheng
Lingxiao He
Jian Liang
OODD
64
3
0
18 Sep 2024
Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated Accuracy
Coby Penso
Jacob Goldberger
29
0
0
06 Sep 2024
Better Verified Explanations with Applications to Incorrectness and Out-of-Distribution Detection
Min Wu
Xiaofu Li
Haoze Wu
Clark Barrett
33
0
0
04 Sep 2024
Representation Norm Amplification for Out-of-Distribution Detection in Long-Tail Learning
Dong Geun Shin
Hye Won Chung
OODD
24
0
0
20 Aug 2024
Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail
Yina He
Lei Peng
Yongcun Zhang
Juanjuan Weng
Zhiming Luo
Shaozi Li
OODD
32
0
0
13 Aug 2024
Your Classifier Can Be Secretly a Likelihood-Based OOD Detector
Jirayu Burapacheep
Yixuan Li
OODD
32
3
0
09 Aug 2024
Combine and Conquer: A Meta-Analysis on Data Shift and Out-of-Distribution Detection
Eduardo Dadalto
F. Alberge
Pierre Duhamel
Pablo Piantanida
OODD
43
0
0
23 Jun 2024
What Does Softmax Probability Tell Us about Classifiers Ranking Across Diverse Test Conditions?
Weijie Tu
Weijian Deng
Liang Zheng
Tom Gedeon
34
0
0
14 Jun 2024
Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection
Yinting Wu
Pai Peng
Bo Cai
Le Li
.
AAML
29
0
0
06 Jun 2024
Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation
Mohamed Ragab
Peiliang Gong
Emadeldeen Eldele
Wenyu Zhang
Min-man Wu
Chuan-Sheng Foo
Daoqiang Zhang
Xiaoli Li
Zhenghua Chen
TTA
AI4TS
40
2
0
04 Jun 2024
Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure
Choubo Ding
Guansong Pang
OODD
VLM
25
3
0
03 Jun 2024
When and How Does In-Distribution Label Help Out-of-Distribution Detection?
Xuefeng Du
Yiyou Sun
Yixuan Li
29
7
0
28 May 2024
Transitional Uncertainty with Layered Intermediate Predictions
Ryan Benkert
M. Prabhushankar
Ghassan AlRegib
35
1
0
25 May 2024
Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations
Mohammad Azizmalayeri
Ameen Abu-Hanna
Giovanni Cina
OODD
44
1
0
21 May 2024
How to train your ViT for OOD Detection
Maximilian Mueller
Matthias Hein
18
0
0
21 May 2024
Out-of-distribution detection based on subspace projection of high-dimensional features output by the last convolutional layer
Qiuyu Zhu
Yiwei He
OODD
21
1
0
02 May 2024
Out-of-distribution Detection in Medical Image Analysis: A survey
Zesheng Hong
Yubiao Yue
Yubin Chen
Lele Cong
Huanjie Lin
...
Jialong Xu
Xiaoqi Yang
Hechang Chen
Zhenzhang Li
Sihong Xie
OOD
34
5
0
28 Apr 2024
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling
Harit Vishwakarma
Reid Chen
Chen
Sui Jiet Tay
Satya Sai Srinath Namburi
Frederic Sala
Ramya Korlakai Vinayak
40
2
0
24 Apr 2024
Gradient-Regularized Out-of-Distribution Detection
Sina Sharifi
Taha Entesari
Bardia Safaei
Vishal M. Patel
Mahyar Fazlyab
OODD
24
4
0
18 Apr 2024
Toward a Realistic Benchmark for Out-of-Distribution Detection
Pietro Recalcati
Fabio Garcea
Luca Piano
Fabrizio Lamberti
Lia Morra
OODD
34
1
0
16 Apr 2024
Out-of-Distribution Data: An Acquaintance of Adversarial Examples -- A Survey
Naveen Karunanayake
Ravin Gunawardena
Suranga Seneviratne
Sanjay Chawla
OOD
38
5
0
08 Apr 2024
Hyperbolic Metric Learning for Visual Outlier Detection
Alvaro Gonzalez-Jimenez
Simone Lionetti
Dena Bazazian
Philippe Gottfrois
Fabian Gröger
M. Pouly
A. Navarini
53
1
0
22 Mar 2024
LoMOE: Localized Multi-Object Editing via Multi-Diffusion
Goirik Chakrabarty
Aditya Chandrasekar
Ramya Hebbalaguppe
AP Prathosh
DiffM
48
6
0
01 Mar 2024
Trustworthy Personalized Bayesian Federated Learning via Posterior Fine-Tune
Mengen Luo
Chi Xu
E. Kuruoglu
FedML
23
0
0
25 Feb 2024
Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism
Hippolyte Gisserot-Boukhlef
Manuel Faysse
Emmanuel Malherbe
C´eline Hudelot
Pierre Colombo
32
2
0
20 Feb 2024
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